Outputs (3)

How emotions stimulate people affected by cancer to use personalised health websites (2015)
Journal Article
Hadzidedic Bazdarevic, S., & Cristea, A. (2015). How emotions stimulate people affected by cancer to use personalised health websites. Knowledge management & e-learning: an international journal, 7(4), 658-676

This paper focuses on helping people affected by cancer – which is the leading cause of death worldwide - by identifying their personalisation needs for health websites. The aim is to identify a set of personalisation features that users prefer on th... Read More about How emotions stimulate people affected by cancer to use personalised health websites.

Learners Thrive When Using Multifaceted Open Social Learner Models (2015)
Journal Article
Shi, L., & Cristea, A. I. (2015). Learners Thrive When Using Multifaceted Open Social Learner Models. IEEE MultiMedia, 23(1), 36-47. https://doi.org/10.1109/mmul.2015.93

This article explores open social learner modeling (OSLM)-a social extension of open learner modeling (OLM). A specific implementation of this approach is presented by which learners' self-direction and self-determination in a social e-learning conte... Read More about Learners Thrive When Using Multifaceted Open Social Learner Models.

Predicting elections for multiple countries using Twitter and polls (2015)
Journal Article
Tsakalidis, A., Papadopoulos, S., Cristea, A., & Kompatsiaris, Y. (2015). Predicting elections for multiple countries using Twitter and polls. IEEE Intelligent Systems, 30(2), 10-17. https://doi.org/10.1109/mis.2015.17

The authors' work focuses on predicting the 2014 European Union elections in three different countries using Twitter and polls. Past works in this domain relying strictly on Twitter data have been proven ineffective. Others, using polls as their grou... Read More about Predicting elections for multiple countries using Twitter and polls.